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QuantFactory/L3-Umbral-Mind-RP-v2.0-8B-GGUF

sourceHugging Facellama3updated 2y agoView on Hugging Face

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Model Card

language:

—en license: llama3 library_name: transformers tags:
—merge
—mergekit
—lazymergekit
—not-for-all-audiences
—nsfw
—rp
—roleplay
—role-play base_model:
—Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B
—bluuwhale/L3-SthenoMaidBlackroot-8B-V1
—Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B
—Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2
—tannedbum/L3-Nymeria-8B
—migtissera/Llama-3-8B-Synthia-v3.5
—Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B
—tannedbum/L3-Nymeria-Maid-8B
—Casual-Autopsy/L3-Uncen-Merger-Omelette-RP-v0.2-8B
—aifeifei798/llama3-8B-DarkIdol-2.1-Uncensored-32K
—Nitral-AI/Hathor_Stable-v0.2-L3-8B
—Sao10K/L3-8B-Stheno-v3.1 pipeline_tag: text-generation model-index:
—name: L3-Umbral-Mind-RP-v2.0-8B results:
—task: type: text-generation name: Text Generation dataset: name: IFEval (0-Shot) type: HuggingFaceH4/ifeval args: numfewshot: 0 metrics:
—type: instlevelstrictacc and promptlevelstrictacc value: 71.23 name: strict accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B name: Open LLM Leaderboard
—task: type: text-generation name: Text Generation dataset: name: BBH (3-Shot) type: BBH args: numfewshot: 3 metrics:
—type: accnorm value: 32.49 name: normalized accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllm_leaderboard?query=Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B name: Open LLM Leaderboard
—task: type: text-generation name: Text Generation dataset: name: MATH Lvl 5 (4-Shot) type: hendrycks/competitionmath args: numfew_shot: 4 metrics:
—type: exactmatch value: 10.12 name: exact match source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllm_leaderboard?query=Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B name: Open LLM Leaderboard
—task: type: text-generation name: Text Generation dataset: name: GPQA (0-shot) type: Idavidrein/gpqa args: numfewshot: 0 metrics:
—type: accnorm value: 4.92 name: accnorm source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B name: Open LLM Leaderboard
—task: type: text-generation name: Text Generation dataset: name: MuSR (0-shot) type: TAUR-Lab/MuSR args: numfewshot: 0 metrics:
—type: accnorm value: 5.55 name: accnorm source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B name: Open LLM Leaderboard
—task: type: text-generation name: Text Generation dataset: name: MMLU-PRO (5-shot) type: TIGER-Lab/MMLU-Pro config: main split: test args: numfewshot: 5 metrics:
—type: acc value: 30.26 name: accuracy source: url: https://huggingface.co/spaces/open-llm-leaderboard/openllmleaderboard?query=Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B name: Open LLM Leaderboard

QuantFactory/L3-Umbral-Mind-RP-v2.0-8B-GGUF

This is quantized version of Casual-Autopsy/L3-Umbral-Mind-RP-v2.0-8B created using llama.cpp

Original Model Card

<img src="https://huggingface.co/Casual-Autopsy/L3-Umbral-Mind-RP-v3-8B/resolve/main/63073798_p0_master1200.jpg" style="display: block; margin: auto;">
Image by ろ47

Merge

This is a merge of pre-trained language models created using mergekit.

Merge Details

The goal of this merge was to make an RP model better suited for role-plays with heavy themes such as but not limited to:

—Mental illness
—Self-harm
—Trauma
—Suicide

I hated how RP models tended to be overly positive and hopeful with role-plays involving such themes, but thanks to failspy/Llama-3-8B-Instruct-MopeyMule this problem has been lessened considerably.

If you're an enjoyer of savior/reverse savior type role-plays like myself, then this model is for you.

Usage Info

This model is meant to be used with asterisks/quotes RPing formats, any other format that isn't asterisks/quotes is likely to cause issues

Quants

—imatrix quants by mradermacher
—Static quants by mradermacher

—Exl2:
—L3-Umbral-Mind-RP-v2.0-8B-8bpw-h8-exl2 by riveRiPH
—L3-Umbral-Mind-RP-v2.0-8B-6.3bpw-h8-exl2 by yours truly
—L3-Umbral-Mind-RP-v2.0-8B-5.3bpw-h6-exl2 by riveRiPH

Merge Method

This model was merged using several Task Arithmetic merges and then tied together with a Model Stock merge, followed by another Task Arithmetic merge with a model containing psychology data.

Models Merged

The following models were included in the merge:

Evaluation Results

Open LLM Leaderboard

Detailed results can be found here

Explaination for AI RP newbies: IFEval is the most important evaluation for RP AIs as it determines how well it can follow OOC, Lorebooks, and most importantly character cards. The rest don't matter. At least not nearly as much as IFEval.

Metric	Value
Avg.	25.76
IFEval (0-Shot)	71.23
BBH (3-Shot)	32.49
MATH Lvl 5 (4-Shot)	10.12
GPQA (0-shot)	4.92
MuSR (0-shot)	5.55
MMLU-PRO (5-shot)	30.26

UGI Leaderboard

Information about the metrics can be found at the bottom of the UGI Leaderboard in the respective tabs.

Metric(UGI-Leaderboard)	Value	Value	Metric(Writing Style)
UGI(Avg.)	31.82	0.107	RegV1
W/10	5.83	0.096	RegV2
Unruly	43.3	0.05	MyScore
Internet	20	9.12	ASSS
Stats	23.6	0	SMOG
Writing	33.8	1.47	Yule
PolContro	38.3

Secret Sauce

The following YAML configurations were used to produce this model:

Umbral-1

yaml

models:
  - model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B
  - model: bluuwhale/L3-SthenoMaidBlackroot-8B-V1
    parameters:
      density: 0.45
      weight: 0.4
  - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B
    parameters:
      density: 0.65
      weight: 0.1
merge_method: dare_ties
base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B
parameters:
  int8_mask: true
dtype: bfloat16

Umbral-2

yaml

models:
  - model: Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2
  - model: tannedbum/L3-Nymeria-8B
    parameters:
      density: 0.45
      weight: 0.25
  - model: migtissera/Llama-3-8B-Synthia-v3.5
    parameters:
      density: 0.65
      weight: 0.25
merge_method: dare_ties
base_model: Cas-Warehouse/Llama-3-Mopeyfied-Psychology-v2
parameters:
  int8_mask: true
dtype: bfloat16

Umbral-3

yaml

models:
  - model: Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B
  - model: tannedbum/L3-Nymeria-Maid-8B
    parameters:
      density: 0.4
      weight: 0.3
  - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B
    parameters:
      density: 0.6
      weight: 0.2
merge_method: dare_ties
base_model: Casual-Autopsy/L3-Umbral-Mind-RP-v0.3-8B
parameters:
  int8_mask: true
dtype: bfloat16

Mopey-Omelette

yaml

models:
  - model: Casual-Autopsy/L3-Uncen-Merger-Omelette-RP-v0.2-8B
  - model: Cas-Warehouse/Llama-3-SOVL-MopeyMule-Blackroot-8B
    parameters:
      weight: 0.15
merge_method: task_arithmetic
base_model: Casual-Autopsy/L3-Uncen-Merger-Omelette-RP-v0.2-8B
dtype: bfloat16

Umbral-Mind-1

yaml

models:
  - model: Casual-Autopsy/Umbral-1
  - model: Casual-Autopsy/Umbral-3
merge_method: slerp
base_model: Casual-Autopsy/Umbral-1
parameters:
  t:
    - value: [0.7, 0.5, 0.3, 0.25, 0.2, 0.25, 0.3, 0.5, 0.7]
  embed_slerp: true
dtype: bfloat16

Umbral-Mind-2

yaml

models:
  - model: Casual-Autopsy/Umbral-Mind-1
  - model: Casual-Autopsy/Umbral-2
merge_method: slerp
base_model: Casual-Autopsy/Umbral-Mind-1
parameters:
  t:
    - value: [0.1, 0.15, 0.2, 0.4, 0.6, 0.4, 0.2, 0.15, 0.1]
  embed_slerp: true
dtype: bfloat16

Umbral-Mind-3

yaml

models:
  - model: Casual-Autopsy/Umbral-Mind-2
  - model: Casual-Autopsy/Mopey-Omelette
merge_method: slerp
base_model: Casual-Autopsy/Umbral-Mind-2
parameters:
  t:
    - value: [0.2, 0.25, 0.3, 0.4, 0.3, 0.25, 0.2, 0.25, 0.3, 0.4, 0.3, 0.25, 0.2]
  embed_slerp: true
dtype: bfloat16

L3-Umbral-Mind-RP-v2.0-8B

yaml

models:
  - model: Casual-Autopsy/Umbral-Mind-3
  - model: Casual-Autopsy/L3-Umbral-Mind-RP-v1.0-8B
    parameters:
      weight: 0.04
  - model: aifeifei798/llama3-8B-DarkIdol-2.1-Uncensored-32K
    parameters:
      weight: 0.02
  - model: Nitral-AI/Hathor_Stable-v0.2-L3-8B
    parameters:
      weight: 0.02
  - model: Sao10K/L3-8B-Stheno-v3.1
    parameters:
      weight: 0.01
merge_method: task_arithmetic
base_model: Casual-Autopsy/Umbral-Mind-3
dtype: bfloat16